{"id":43278751,"url":"https://github.com/rodolfoferro/streamlit-example","last_synced_at":"2026-02-01T17:02:38.800Z","repository":{"id":102294693,"uuid":"290609950","full_name":"RodolfoFerro/streamlit-example","owner":"RodolfoFerro","description":"Example of ML app using 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size](https://img.shields.io/github/repo-size/RodolfoFerro/streamlit-example?logo=github\u0026style=for-the-badge)\n![GitHub](https://img.shields.io/github/license/RodolfoFerro/streamlit-example?label=LICENSE\u0026logo=github\u0026style=for-the-badge) \u003cbr\u003e\n[![Twitter](https://img.shields.io/twitter/follow/rodo_ferro?label=Twitter\u0026logo=twitter\u0026logoColor=fff\u0026style=for-the-badge)](https://twitter.com/rodo_ferro/)\n[![LinkedIn](https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge\u0026logo=linkedin\u0026logoColor=fff\u0026colorB=555)](https://www.linkedin.com/in/rodolfoferro/) \u003cbr\u003e\n[![Slides](https://img.shields.io/static/v1?label=Slides\u0026message=Google%20Slides\u0026color=tomato\u0026logo=google\u0026logoColor=fff\u0026style=for-the-badge)](https://docs.google.com/presentation/d/e/2PACX-1vTBfub0FyiWLf_4NEnH7Ob6BHJtQaSsr1iqSC5C8deVtXWEbx9-o8i_03FS-qf6mk0jhKdUno1KtqAs/pub?start=false\u0026loop=false\u0026delayms=3000)\n\n\u003c!-- Project description --\u003e\nThis repository contains code to build a Streamlit web app that serves an Iris classifier.\n\n\n## Prerequisities\n\nBefore you begin, ensure you have met the following requirements:\n\n* You have a _Windows/Linux/Mac_ machine running [Python 3.6+](https://www.python.org/).\n* You have installed the latest versions of [`pip`](https://pip.pypa.io/en/stable/installing/) and [`virtualenv`](https://virtualenv.pypa.io/en/stable/installation/) or `conda` ([Anaconda](https://www.anaconda.com/distribution/)).\n\n\n## Setup\n\nTo install the dependencies, you can simply follow this steps.\n\nClone the project repository:\n```bash\ngit clone https://github.com/RodolfoFerro/streamlit-example.git\ncd streamlit-example\n```\n\nTo create and activate the virtual environment, follow these steps:\n\n**Using `conda`**\n\n```bash\n$ conda create -n streamlit python=3.7\n\n# Activate the virtual environment:\n$ conda activate streamlit\n\n# To deactivate (when you're done):\n(streamlit)$ conda deactivate\n```\n\n**Using `virtualenv`**\n\n```bash\n# In this case I'm supposing that your latest python3 version is 3.7\n$ virtualenv streamlit --python=python3\n\n# Activate the virtual environment:\n$ source streamlit/bin/activate\n\n# To deactivate (when you're done):\n(streamlit)$ deactivate\n```\n\nTo install the requirements using `pip`, once the virtual environment is active:\n```bash\n(streamlit)$ pip install -r requirements.txt\n```\n\n#### Running the script\n\nFinally, if you want to run the main script:\n```bash\n(streamlit)$ streamlit run app.py\n```\n\n#### Extend code!\n\nPlease feel free to use this repo as a template to extend code!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodolfoferro%2Fstreamlit-example","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frodolfoferro%2Fstreamlit-example","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frodolfoferro%2Fstreamlit-example/lists"}